摘要
研究和实现基于嵌入式Raspberry Pi的手持式腊肉检测终端系统。利用计算机视觉和人工嗅觉分别采集腊肉的颜色或菌斑面积特征信息和挥发性气体值,将采集的数据经过GPRS传递给上位机,数据分析后将结果返回,实现对腊肉新鲜度的快速、便携检测。试验表明:该检测终端具有很好的精确度和可操作性,检测误差保持在[-0.38,0.21]区间内。
The handheld terminal bacon detection system based on Raspberry Pi was investigated and applicated in this paper. The corn purer vision and artificial olfactory were used to collect the bacon color characteristic value and Plaque as so as the concentration of volatile gases, respectively. Moreover the collected data were transfer to the host computer through the GPRS, and then the analyses were returned. Thus we realized the rapid and portable detection of the bacon freshness. Our experiments verified that the terminal could work with good detection accuracy and operability.
出处
《食品与机械》
CSCD
北大核心
2016年第8期38-41,共4页
Food and Machinery
基金
国家自然科学基金资助(编号:61473009)
北京市自然科学基金项目资助(编号:4122020)
关键词
腊肉
新鲜度
模式识别
计算机视觉
人工嗅觉
bacon
freshness
pattern recognition
computer vision
artificial olfaction
